AI decision-support platform for defense and national security agencies
Rhombus Power builds AI-driven predictive decision support for U.S. Government and allied defense ministries. The stack spans geospatial (QGIS, ArcGIS), cloud compute (AWS, Azure, GCP, Kubernetes, HPC), and data processing (Python, Pandas, PyArrow, MySQL, Oracle), reflecting heavy lifting required for multi-domain intelligence fusion. Active adoption of containerization (Docker, Kubernetes) and SAFe signals scaling toward complex, compliance-heavy deployments. The hiring mix—engineering and data-heavy, with dedicated security and sales leadership—matches their project focus on high-value government deals and AI platform expansion.
Notable leadership hires: Head of Sales, Country Lead, Head of Strategic Growth, Head of Security, Head of Marketing
Rhombus Power delivers real-time AI-powered decision support to defense and national security organizations across the U.S. and allied nations. The platform unifies disparate data sources, AI modeling, and human expertise to accelerate decision-making in complex operational environments. Founded in 2011 and based in Palo Alto, the company operates across 51–200 employees distributed across engineering, data science, sales, and security functions, with hiring presence in the U.S., India, Philippines, Taiwan, Japan, and the U.K. Core challenges include navigating long government sales cycles, managing large-scale complex datasets, and maintaining AI accuracy under demanding operational timelines.
Rhombus Power uses geospatial tools (QGIS, ArcGIS), cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and data processing with Python, Pandas, PyArrow, MySQL, and Oracle. They're actively adopting SAFe for scaled agile delivery.
Yes. Rhombus Power has 34 active roles with recent postings. Engineering is their largest department (10 people), followed by data (8) and sales (6). Leadership gaps exist at director and head-of-function levels.
Rhombus Power actively hires in the United States, India, Philippines, Taiwan, Japan, and the United Kingdom, reflecting distributed engineering and support operations.
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